Executives Expect AI to Drive Headcount Reductions Soon

Over 99 percent of executives anticipate AI will lead to headcount reductions within two years, according to a SOFX.

KP
Kian Parsa

May 26, 2026 · 3 min read

Office environment with robots working alongside humans, symbolizing AI's impact on job roles and potential headcount reductions.

Over 99 percent of executives anticipate AI will lead to headcount reductions within two years, according to a SOFX.com survey. Yet, a contrasting reality emerges: only 1 percent of service firms reported letting go of workers in response to AI over the past six months, Liberty Street Economics found. This stark disconnect creates a palpable tension: executives foresee massive job shifts, but current firm data shows minimal actual layoffs. While the immediate impact remains understated, rapid AI adoption and strong executive sentiment suggest a much larger wave of job displacement is imminent, compelling workers to adapt or risk obsolescence. What does this mean for our communities and careers?

The Disconnect: Low Firm-Level Layoffs Amidst Broader Economic Shifts

Despite executive predictions, actual AI-driven layoffs remain low. Only 1 percent of service firms reported letting go of workers due to AI in the last six months, Liberty Street Economics found. However, AI has already reduced monthly payroll growth by roughly 16,000 jobs in the past year, increasing the unemployment rate by 0.1 percentage point, CBS News reports. A 'silent displacement' strategy is suggested: companies use AI to reduce new hires and manage attrition, avoiding overt layoffs. The approach, while less visible, still impacts the labor market. With 80% of the U.S. workforce potentially seeing at least 10% of their work automated by generative AI, according to AIMultiple, the quiet shift delays an inevitable reckoning with a significantly leaner workforce.

The Accelerating Pace of AI Adoption

AI adoption is accelerating rapidly across industries. Forty percent of service firms now use AI, up from 25 percent in 2025, Liberty Street Economics reports. Manufacturers show a similar surge, from 16 percent to 26 percent. The widespread embrace signals a move beyond mere experimentation to deep integration. Moreover, about half of service firms using AI now pay for tools, a 16 percentage point increase from last year. The growing investment confirms AI is quickly embedding itself into core business operations, preparing the ground for its full impact on employment.

The Looming Reckoning for the Workforce

The disconnect between executive expectations and current layoff figures suggests a dangerous complacency. Companies integrate AI without fully addressing its workforce implications, creating a false sense of security for many employees. As AI capabilities surge, a brutal reconciliation between automation's potential and existing payrolls seems increasingly likely. Workers in roles susceptible to automation must adapt quickly. What does this mean for those who have built careers in now-automatable fields? The current low layoff figures are a lagging indicator, masking the true, disruptive impact of AI. Businesses delaying difficult workforce decisions or failing to strategically implement AI may face greater challenges ahead.

Preparing for a Transformed Job Market

For workers, the imperative to adapt and reskill is undeniable. As AI integrates into core business functions, employees must augment their skills with AI competencies. The proactive approach can transform individuals, turning potential job displacement into new opportunities. Companies also bear responsibility. Investing in reskilling programs and fostering continuous learning can mitigate the human cost of automation. The foresight can turn disruption into growth and innovation, strengthening both workforce and firm. The future of work isn't about replacing humans, but redefining roles. It asks us to consider how we can collaborate with intelligent systems, unlocking greater efficiency and new avenues for human creativity.

By Q3 2026, many businesses, particularly in the service sector, will likely face significant challenges if they continue to delay direct AI-driven workforce adjustments, testing the adaptability of both companies and their employees as AI capabilities surge against existing payrolls.